My name is Jonathan Giguere and I am a data nerd, question asker, and constant learner. I created this simple page for two reasons: to demonstrate my data analysis and machine learning capabilities and to show you who I am as an individual. I hope you enjoy!
My core data competenices include computer vision, sequence modeling, data visualization, modeling imbalanced datasets, data mining, and NLP. My graduate education has provided me the opportunity to work on diverse projects in all of the aforementioned areas. Some examples are given below. Aside from school projects, I have also worked extensively on ad hoc data analysis tasks during my internship at the National League of Cities which required leveraging public data sources and automating ETL and reporting processes.
I have worked on multiple deep learning projects related to computer vision. Most notably, I completed my Capstone project for my Data Science degree on classifying human emotion in images. For this particular project, I used 500,000 labeled images to train a custom CNN on a cloud-based GPU. The report for this particular project can be accessed here.
I have experience using RNNs to model sequential data in NLP and non-NLP applications. For this particular project, I used a seq2seq modeling approach to predict which airport an airplane would fly to next given a sequence of previously visited locations. The report for this group project can be accessed here.
My philosophy on data visualization is to take the path of least resistance that allows for maximum comprehension from the end user. I have used a plethora of data visualization tools including Tableau, Power BI, ArcGIS, Plotly, MatPlotLib, ggplot2, and web based methods like Google Charts and D3.js. This particular project aims to visualize the most popular stocks from 1/16/2020 - 7/6/2020 being traded on the Robinhood trading platform. It was created with D3.js. A live version of the site can be accessed here.
I have experience working with various imbalanced datasets in the realms of fraud detection and disease diagnosis. In this particular project, I leveraged AWS Sagemaker to train a XGBoost classifier that classified fraudulent credit card transaction in a test set with 99.9% accuracy and an F1 score of 85.15%. More on this particular project can be found here.
Writing scripts that interact with, and gather data from, APIs is another one of my data related competencies. In my work as a Data Science Intern, I routinely automated scripts to pull data from public APIs and the Census Bureau. In this example to the left, I used the Twitter API to analyze tweets related to any keyword given. The dashboard currently shows tweets discussing Trump's impeachment from a year ago. The repository for this project can be accessed here.
I am originally from the Washington DC Metro Area and recently moved to New York City with my girlfriend and my cat, Kimbo. Having spent the first 24 years of my life in the beltway region I wanted to get away from the bureaucratic career choices I found myself surrounded by. I enjoy spending time with friends, eating all the good street food New York City has to offer, and maintaining an active lifestyle. I am a lover of knowledge, thoughtful conversation, and passionate people.
I have always loved to take photos. Here is a small gallery showing some photos I took during my travels. I like a lot of night photography with long exposures. I use Adobe Lightroom for editing.
I try my best to live an active lifestyle. I weight train, ride a spin bike, or go on a long walk most days of the week. During the past few years I developed a love for skiing and have spent my Winter's skiing the East Coast from West Virginia to Vermont.
I listen to music constantly. Whether I am writing code, working out, on a walk, or cleaning up my apartment, music will be playing. This being the case, I am always uncovering new music and artists. My taste is eclectic ranging from hip-hop to 90's alternative to electronic and everything inbetween. My favorite artist of all time is Mac Miller.
I have been blessed to have traveled to so many different places in the past few years. Since 2018 I have been to London, Paris, Amsterdam, Switzerland, Rome, Florence, Barcelona, Tel Aviv, Jerusalem, Costa Rica, Key West, San Francisco, and Austin. Let me know if you have been to any of the same places!
Here's a photo of my cat, Kimbo. I rescued him while I was an undergrad at Virgina Tech and have had him with me ever since. His favorite activities include: sleeping, eating, and walking on my keyboard while I am working.